Scale AI

This week I joined His Majesty King Charles III, government ministers, business and community leaders to discuss how AI can best serve the public good. AI has the potential to expand opportunity and help solve some of our toughest challenges. It's essential that we pursue that potential responsibly, in ways that benefit people broadly. Rigorous, independent testing to get an evidence-based understanding of what AI systems can do and their risks - like we do at Scale AI - is one essential step to earning public trust. Governments and independent evaluators have to work together to deeply and continually assess AI’s capabilities, opportunities, and risks. This will allow us to make decisions about its development and use based on data rather than instinct. Conversations like this are an important step in that direction.

A new healthcare future is possible, and we’re proud to be working with Mayo Clinic to make it happen. This partnership is about more than technology; it is about creating a better and more effective healthcare experience to streamline clinical processes, enhance clinical decision support, and create a more personalized patient experience. We are already seeing meaningful impact, including patients getting 11 more minutes on average with their doctors, because doctors can now be doctors, and not just record reviewers. Learn more about how reliable AI is changing care delivery at https://lnkd.in/ek4mSSqe

Only 6% of enterprises have cracked AI at scale. The rest are still stuck in pilots. This Reuters Insights report breaks down what separates them and the eight moves any company can make to catch up.

Most insurers are experimenting with AI. But fewer than 22% have deployed it at scale. The difference is not budget. It is knowing where and how to build. Carriers who have figured it out are seeing 60% productivity gains, 70% cost reductions, and up to 50% less claims leakage. If your AI pilots are not turning into real results, this guide was written for you.

The insurers pulling ahead are not experimenting harder. They are deploying AI that actually works at scale. 55% of claims handled with zero human touch. A 20x jump in fraud detection. If you are ready to move from pilots to real scale, this guide is worth your time.

Most enterprise AI initiatives stall before they ever scale. Not because of budget, but because of fixable problems most teams do not see coming. This guide gives your leadership team a clear roadmap for moving from pilot to production across claims, fraud, and underwriting. No fluff. Just a practical framework built for enterprise insurers.